Artificial Intelligence Consultant

Company Description Planck Proof builds Planck Operator, an autonomous, agentic API penetration testing solution designed to simulate real-world attackers. Using customers’ OpenAPI specifications, the platform systematically tests every operation to uncover issues such as BOLA, BFLA, broken authentication, and injection vulnerabilities across user roles. It continuously reproduces validated findings in a controlled and safe way in production environments. The company focuses on advanced automation, security-first engineering, and practical risk reduction for modern API-driven products. Team members collaborate closely with security and engineering stakeholders who value deep technical insight and clear communication. Role Description The Artificial Intelligence Consultant will work in a remote, contract capacity to advance AI-driven capabilities within Planck Operator and related solutions. Day-to-day responsibilities include analyzing complex security and API datasets, designing and refining machine learning and NLP approaches for vulnerability detection, and recognizing patterns that improve testing coverage and accuracy. The consultant will collaborate with product, engineering, and security teams to propose AI-based enhancements, translate business and technical requirements into feasible models, and document recommendations for implementation. The role also involves advising on best practices for AI integration, evaluating model performance, and communicating findings to both technical and non-technical stakeholders. Qualifications Candidates should possess strong expertise in Machine Learning and Data Science for designing, training, and evaluating models.Candidates should possess skills in Natural Language Processing (NLP) and Pattern Recognition to analyze API specifications and security-related signals.Candidates should possess experience in Consulting, including engaging with stakeholders, gathering requirements, and presenting AI-driven solutions clearly.Relevant qualifications include familiarity with cybersecurity or application security concepts, especially API security and vulnerability types.Relevant qualifications include proficiency in Python or similar languages, experience with ML/NLP libraries, and the ability to work independently in a remote, contract setting.Relevant qualifications include strong analytical thinking, clear written and verbal communication, and prior experience contributing to AI or data-focused products.